ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025
Comparison of amyloid chronicity and EYO in autosomal dominant Alzheimer's disease.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Biomarker Variability Limits Individualized Amyloid Time Estimation in Alzheimer Disease.bioRxiv : the preprint server for biology · 2026Article
- Genetic Associations with Temporal Modeling of Alzheimer's Disease Progression Supports a Novel Paradigm for Disease Risk.medRxiv : the preprint server for health sciences · 2026Article
- Abnormalities in core AD biomarkers precede inflammatory and glial markers in CSF in Autosomal Dominant Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2026Article
- Comparison of amyloid chronicity and EYO in autosomal dominant Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
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31 authors.
Funding
Abstract
introductionPreclinical Alzheimer's disease (AD) can be described relative to biomarker positivity onset time.
methodsWe estimated time from amyloid positivity (A+) using sampled iterative local approximation (SILA) in a longitudinal autosomal dominant AD (ADAD) sample (N = 379) with amyloid positron emission tomography. We compared (1) predicted age at A+ to imputed age, (2) estimated age at A+ to estimated age at symptom onset, and (3) variance in cognitive performance explained.
resultsMean error between imputed and SILA-estimated age at A+ (N = 26) was 1.15 years. Age at A+ explained 39% of estimated years to symptom onset (EYO) variance. Time from A+ explained 19% of cognitive composite variance and 14% of Clinical Dementia Rating Sum of Boxes CDR-SB variance; EYO explained 43% and 57%, respectively. DISCUSSION: SILA estimates A+ age in ADAD with reasonably good accuracy. SILA-estimated time from A+ describes the start of pathology, but the time from A+ onset to symptoms is variable in ADAD and better described by EYO. HIGHLIGHTS: Amyloid chronicity predicts a 14-year preclinical AD phase in ADAD. SILA accurately estimates age at A+ (MAE < 2 years). EYO outperforms chronicity in predicting symptom onset. APP mutation carriers show atypical amyloid accumulation. Chronicity models help reveal AD heterogeneity in preclinical stages.
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